class_docstr: Mixer model for multi-label classification task.
class_docstr_tok: ["Mixer","model","for","multi-label","classification","task","."]
code: def default_flax_model_config(self) -> ml_collections.ConfigDict:
      return ml_collections.ConfigDict(
          {
              "model": dict(
                  patch_size=(4, 4),
                  hidden_size=16,
                  num_layers=1,
                  channels_mlp_dim=32,
                  sequence_mlp_dim=32,
                  dropout_rate=0.0,
                  stochastic_depth=0,
              )
          }
      )
  
file_path: scenic/scenic/projects/baselines/mixer.py
imports: from typing import Optional, Sequence
  import flax.linen
  import jax.numpy
  import ml_collections
  from scenic.model_lib.base_models.multilabel_classification_model import MultiLabelClassificationModel
  from scenic.model_lib.layers import attention_layers
  from scenic.model_lib.layers import nn_layers
label_desc: Use image node_id 2 for calling the MixerMultiLabelClassificationModel obj's underlying member method code with example usage: obj.default_flax_model_config() and returns: ml_collections